Begin by examining the data set. Recognize how the data is recorded and how you may be able to use the given data to explore potential relationships between categories.
Scatterplot Questions
1. Create a scatterplot using categories that you feel may influence fuel efficiency. Answer the following questions.
Identify the two categories you chose and why you thought there might be a relationship between the two BEFORE creating the scatterplot?
Answer: Hyw miles and Average miles per gallon
Create the scatterplot. Which category is your x-axis and which is your y-axis? Why did you create your scatterplot in that order?
Answer:y-axis is hyw miles and x-axis is the ave mpg
Do you believe there is a relationship between the two categories? Why or why not?
Answer:smaller the vehicle the more mpg
If there appears to be a relationship, does it have a positive or negative slope? What does this mean about the relationship between the two categories?
Answer:positive. as ave miles goes up. mpg goes up
Regression Questions
Create the linear regession equation in Excel. Include both the equation and the r2 value on the graph. Answer the following questions.
What is your regression equation? Explain what the equation means in relation to the categories.
Answer: y= .997x + 3.286
What is your r2 value? Is this a strong correlation? Why or Why not?
Answer:r2 = .970 yes because it is very close to 1 Based on all the information you have, can you make any conclusions about your two categories? If so, what conclusions can you make? If not, why not?
Answer: as the ave miles goes up, mpg goes up
Analysis
Right click on the regression equation and select "Format Trendline". Explore the different variations of regression equations.
How would you determine which equation had the best relationship?
Answer: polynominal
Was the "Linear" option the optimal option? If so, why? If not, what was the better equation and why?
Answer: no. exponential it is closer to 1 or neg 1
Attach your Scatter Plots and Regression Information. Make sure your X and Y axis are correctly labeled. You may use Screen Shots to do so.
Begin by examining the data set. Recognize how the data is recorded and how you may be able to use the given data to explore potential relationships between categories.
Scatterplot Questions
1. Create a scatterplot using categories that you feel may influence fuel efficiency. Answer the following questions.
Answer: Hyw miles and Average miles per gallonIdentify the two categories you chose and why you thought there might be a relationship between the two BEFORE creating the scatterplot?
Answer:y-axis is hyw miles and x-axis is the ave mpgCreate the scatterplot. Which category is your x-axis and which is your y-axis? Why did you create your scatterplot in that order?
Answer:smaller the vehicle the more mpgDo you believe there is a relationship between the two categories? Why or why not?
Answer:positive. as ave miles goes up. mpg goes upIf there appears to be a relationship, does it have a positive or negative slope? What does this mean about the relationship between the two categories?
Regression Questions
Create the linear regession equation in Excel. Include both the equation and the r2 value on the graph. Answer the following questions.
Answer: y= .997x + 3.286What is your regression equation? Explain what the equation means in relation to the categories.
Answer:r2 = .970 yes because it is very close to 1What is your r2 value? Is this a strong correlation? Why or Why not?
Based on all the information you have, can you make any conclusions about your two categories? If so, what conclusions can you make? If not, why not?
Answer: as the ave miles goes up, mpg goes up
Analysis
Right click on the regression equation and select "Format Trendline". Explore the different variations of regression equations.
Answer: polynominalHow would you determine which equation had the best relationship?
Answer: no. exponential it is closer to 1 or neg 1Was the "Linear" option the optimal option? If so, why? If not, what was the better equation and why?
Attach your Scatter Plots and Regression Information. Make sure your X and Y axis are correctly labeled. You may use Screen Shots to do so.